GS算法

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GS算法

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In the text, the GS algorithm is mentioned. The GS algorithm, also known as the Gram-Schmidt algorithm, is a method for orthonormalizing a set of vectors in an inner product space. It is named after Jørgen Pedersen Gram and Erhard Schmidt, who developed it independently in the early 20th century. The algorithm is commonly used in linear algebra and numerical analysis, and has a wide range of applications in fields such as computer graphics, signal processing, and quantum mechanics.